MiniMax M1 80k

MiniMax M1 80k

MiniMaxllm

Grande modelo de linguagem (llm) desenvolvido pela MiniMax — Intelligence Index 24/100 no Artificial Analysis; US$ 0.550/1M tokens de entrada.

API Available

Specifications

Context Window

Input Price/1M

$0.55

Output Price/1M

$2.20

Parameters

00

Benchmarks

MiniMax M1 80k results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard3.0100.0

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench71.0100.0Artificial Analysis official API
SciCode37.0100.0
AA Coding Index14.5100.0Artificial Analysis official API

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro82.0100.0

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR54.0100.0

Math

BenchmarkScoreMaximumMethodology
MATH-50098.0100.0Artificial Analysis official API
AA Math Index61.0100.0Artificial Analysis official API
AIME 202561.0100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index24.4100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro81.6100.0Artificial Analysis official API
GPQA Diamond70.0100.0Artificial Analysis official API
IFBench42.0100.0
HLE8.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench34.0100.0

Information

Release date
June 17, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: MiniMax M1 80k

What is MiniMax M1 80k?

MiniMax M1 80k is an AI model developed by MiniMax, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via MiniMax's cloud API.

Pricing & Costs in 2026

MiniMax M1 80k is usage-based, priced at $0.55/1M input tokens and $2.2/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

MiniMax M1 80k was evaluated on 15 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

MiniMax M1 80k is suitable for a wide range of AI applications: high-volume chatbots and automated support, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, MiniMax M1 80k competes directly with similarly capable models. MiniMax competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is MiniMax M1 80k?

MiniMax M1 80k is an AI model developed by MiniMax. It is a llm model.

How much does MiniMax M1 80k cost?

MiniMax M1 80k costs $0.55/1M input tokens and $2.2/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does MiniMax M1 80k compare with other models?

In available benchmarks, MiniMax M1 80k scored: Terminal-Bench Hard: 3/100, LiveCodeBench: 71/100, SciCode: 37/100. See the full table above for a detailed comparison.

Is MiniMax M1 80k open source?

No, MiniMax M1 80k is a proprietary model from MiniMax. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is MiniMax M1 80k best for?

MiniMax M1 80k excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →